Optimizing High-Efficiency Quantum Memory with Quantum Machine Learning for Near-Term Quantum Devices.

ABSTRACT: Quantum memories are a fundamental of any global-scale quantum Internet, high-performance quantum networking and near-term quantum computers. A main problem of quantum memories is the low retrieval efficiency of the quantum systems from the quantum registers of the quantum memory. Here, we define a novel quantum memory called high-retrieval-efficiency (HRE) quantum memory for near-term quantum devices. An HRE quantum memory unit integrates local unitary operations on its hardware level for the optimization of the readout procedure and utilizes the advanced techniques of quantum machine learning. We define the integrated unitary operations of an HRE quantum memory, prove the learning procedure, and evaluate the achievable output signal-to-noise ratio values. We prove that the local unitarie

SUBMITTER: Gyongyosi L 

PROVIDER: S-EPMC6954268 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature